3 papers
cs.LO2026
Solving Stochastic Constraints by Oracle-based Gradient Descent and Interval Arithmetic
Xiakun Li, Hao Wu, Bican Xia +2
Stochastic constraints, which incorporate both deterministic parameters and random variables, extend classical deterministic constraints by explicitly accounting for uncertainty. T…
cs.PL2024
Piecewise Analysis of Probabilistic Programs via -Induction
Tengshun Yang, Shenghua Feng, Hongfei Fu +3
In probabilistic program analysis, quantitative analysis aims at deriving tight numerical bounds for probabilistic properties such as expectation and assertion probability. Most pr…
cs.PL2023
Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial Solving
Peixin Wang, Tengshun Yang, Hongfei Fu +2
In Bayesian probabilistic programming, a central problem is to estimate the normalised posterior distribution (NPD) of a probabilistic program with conditioning via score (a.k.a. o…